This is a placeholder post about data pipelines. Replace this with your actual content.

The Challenge

Building data pipelines that are both reliable and maintainable is harder than it looks.

Key Principles

1. Idempotency - Operations should be safe to retry
2. Observability - You can’t fix what you can’t see
3. Simplicity - The best pipeline is one you can understand at 3am

Code Example

def process_batch(records):
    """Process a batch of records idempotently."""
    for record in records:
        if not already_processed(record.id):
            transform_and_load(record)

More details to come in future posts.